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Empirical Study of Monthly Economic Losses Assessments for “Standard Unit Lockdown” Due to COVID-19
BACKGROUND: The pandemic of COVID-19 has been shaping economic developments of the world. From the standpoint of government measures to prevent and control the epidemic, the lockdown was widely used. It is essential to access the economic losses in a lockdown environment which will provide governmen...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9129268/ https://www.ncbi.nlm.nih.gov/pubmed/35619804 http://dx.doi.org/10.3389/fpubh.2022.859751 |
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author | Zhang, Houli You, Shibing Zhang, Miao Chen, Anqi Hu, Zengyun Liu, Ying Liu, Difei Yuan, Pei Tan, Yi |
author_facet | Zhang, Houli You, Shibing Zhang, Miao Chen, Anqi Hu, Zengyun Liu, Ying Liu, Difei Yuan, Pei Tan, Yi |
author_sort | Zhang, Houli |
collection | PubMed |
description | BACKGROUND: The pandemic of COVID-19 has been shaping economic developments of the world. From the standpoint of government measures to prevent and control the epidemic, the lockdown was widely used. It is essential to access the economic losses in a lockdown environment which will provide government administration with a necessary reference for decision making in controlling the epidemic. METHODS: We introduce the concept of “standard unit incident” and an economic losses assessment methodology for both the standard and the assessed area. We build a “standard unit lockdown” economic losses assessment system and indicators to estimate the economic losses for the monthly lockdown. Using the comprehensive assessment system, the loss infected coefficient of monthly economic losses during lockdown in the 40 countries has been calculated to assess the economic losses by the entropy weighting method (EWM) with data from the CSMAR database and CDC website. RESULTS: We observe that countries in North America suffered the most significant economic losses due to the epidemic, followed by South America and Europe, Asia and Africa, and Oceania and Antarctica suffered relatively minor economic losses. The top 10 countries for monthly economic losses during lockdown were the United States, India, Brazil, France, Turkey, Russia, the United Kingdom, Italy, Spain, and Germany. The United States suffered the greatest monthly economic losses under lockdown ($65.3 billion), roughly 1.5 times that of China, while Germany suffered the least ($56.4 billion), roughly 1.3 times that of China. CONCLUSION: Lockdown as a control and mitigation strategy has great impact on the economic development and causes huge economic losses. The economic impact due to the pandemic has varied widely among the 40 countries. It will be important to conduct further studies to compare and understand the differences and the reasons behind. |
format | Online Article Text |
id | pubmed-9129268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91292682022-05-25 Empirical Study of Monthly Economic Losses Assessments for “Standard Unit Lockdown” Due to COVID-19 Zhang, Houli You, Shibing Zhang, Miao Chen, Anqi Hu, Zengyun Liu, Ying Liu, Difei Yuan, Pei Tan, Yi Front Public Health Public Health BACKGROUND: The pandemic of COVID-19 has been shaping economic developments of the world. From the standpoint of government measures to prevent and control the epidemic, the lockdown was widely used. It is essential to access the economic losses in a lockdown environment which will provide government administration with a necessary reference for decision making in controlling the epidemic. METHODS: We introduce the concept of “standard unit incident” and an economic losses assessment methodology for both the standard and the assessed area. We build a “standard unit lockdown” economic losses assessment system and indicators to estimate the economic losses for the monthly lockdown. Using the comprehensive assessment system, the loss infected coefficient of monthly economic losses during lockdown in the 40 countries has been calculated to assess the economic losses by the entropy weighting method (EWM) with data from the CSMAR database and CDC website. RESULTS: We observe that countries in North America suffered the most significant economic losses due to the epidemic, followed by South America and Europe, Asia and Africa, and Oceania and Antarctica suffered relatively minor economic losses. The top 10 countries for monthly economic losses during lockdown were the United States, India, Brazil, France, Turkey, Russia, the United Kingdom, Italy, Spain, and Germany. The United States suffered the greatest monthly economic losses under lockdown ($65.3 billion), roughly 1.5 times that of China, while Germany suffered the least ($56.4 billion), roughly 1.3 times that of China. CONCLUSION: Lockdown as a control and mitigation strategy has great impact on the economic development and causes huge economic losses. The economic impact due to the pandemic has varied widely among the 40 countries. It will be important to conduct further studies to compare and understand the differences and the reasons behind. Frontiers Media S.A. 2022-05-10 /pmc/articles/PMC9129268/ /pubmed/35619804 http://dx.doi.org/10.3389/fpubh.2022.859751 Text en Copyright © 2022 Zhang, You, Zhang, Chen, Hu, Liu, Liu, Yuan and Tan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Zhang, Houli You, Shibing Zhang, Miao Chen, Anqi Hu, Zengyun Liu, Ying Liu, Difei Yuan, Pei Tan, Yi Empirical Study of Monthly Economic Losses Assessments for “Standard Unit Lockdown” Due to COVID-19 |
title | Empirical Study of Monthly Economic Losses Assessments for “Standard Unit Lockdown” Due to COVID-19 |
title_full | Empirical Study of Monthly Economic Losses Assessments for “Standard Unit Lockdown” Due to COVID-19 |
title_fullStr | Empirical Study of Monthly Economic Losses Assessments for “Standard Unit Lockdown” Due to COVID-19 |
title_full_unstemmed | Empirical Study of Monthly Economic Losses Assessments for “Standard Unit Lockdown” Due to COVID-19 |
title_short | Empirical Study of Monthly Economic Losses Assessments for “Standard Unit Lockdown” Due to COVID-19 |
title_sort | empirical study of monthly economic losses assessments for “standard unit lockdown” due to covid-19 |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9129268/ https://www.ncbi.nlm.nih.gov/pubmed/35619804 http://dx.doi.org/10.3389/fpubh.2022.859751 |
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